DeepAngl.ipynb

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   "source": [
    "from random import randint, shuffle\n",
    "from simanneal import Annealer\n",
    "import kenlm\n",
    "model = kenlm.LanguageModel('wiki.arpa')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " Temperature        Energy    Accept   Improve     Elapsed   Remaining\n",
      "     2.50000        102.38    74.20%    24.40%     0:00:02     0:00:00"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "presidential elections\n",
      "critical problem\n",
      "sufficient time\n",
      "beautiful woman\n",
      "scary movie\n",
      "sexual harassment\n",
      "tasty hamburger\n",
      "trivial task\n"
     ]
    }
   ],
   "source": [
    "first = 'presidential critical sufficient beautiful scary sexual tasty trivial'.split()\n",
    "second = 'elections problem time woman movie harassment hamburger task'.split()\n",
    "shuffle(b)\n",
    "\n",
    "class Matching(Annealer):\n",
    "    def move(self):\n",
    "        a = randint(0, len(self.state) - 1)\n",
    "        b = randint(0, len(self.state) - 1)\n",
    "        self.state[a], self.state[b] = self.state[b], self.state[a]\n",
    "    \n",
    "    def energy(self):\n",
    "        return -sum(model.score(first[i] + ' ' + w)\n",
    "                    for i, w in enumerate(self.state))\n",
    "\n",
    "matching = Matching(second)\n",
    "result, score = matching.anneal()\n",
    "\n",
    "for i, w in enumerate(result):\n",
    "    print(first[i], w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " Temperature        Energy    Accept   Improve     Elapsed   Remaining\n",
      "     2.50000         46.70    63.00%    14.20%     0:00:02     0:00:00"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mastering horse riding takes a lot of time and also may be very dangerous.\n"
     ]
    }
   ],
   "source": [
    "#text = 'Fuck this _ test! Why don\\'t we go drink some _ and watch some _? This sound like a _ to me.'\n",
    "#entries = 'math beer movies plan'.split()\n",
    "text = 'Mastering horse _ takes a lot of _ and also may be very _.'\n",
    "entries = 'riding time dangerous'.split()\n",
    "shuffle(entries)\n",
    "\n",
    "def fill(s):\n",
    "    _text = text\n",
    "    for w in s:\n",
    "        _text = _text.replace('_', w, 1)\n",
    "    return _text\n",
    "\n",
    "class Placing(Annealer):\n",
    "    def move(self):\n",
    "        x = randint(0, len(self.state) - 1)\n",
    "        y = randint(0, len(self.state) - 1)\n",
    "        self.state[x], self.state[y] = self.state[y], self.state[x]\n",
    "    \n",
    "    def energy(self):\n",
    "        return -model.score(fill(self.state))\n",
    "\n",
    "placing = Placing(entries)\n",
    "result, score = placing.anneal()\n",
    "\n",
    "print(fill(result))"
   ]
  }
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